Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection
Abstract
Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness. 4 figs.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- OSTI Identifier:
- 504946
- Patent Number(s):
- 5626145
- Application Number:
- PAN: 8-619,031
- Assignee:
- Lockheed Martin Energy Systems, Inc., Oak Ridge, TN (United States)
- DOE Contract Number:
- AC05-84OR21400
- Resource Type:
- Patent
- Resource Relation:
- Other Information: PBD: 6 May 1997
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 55 BIOLOGY AND MEDICINE, BASIC STUDIES; DIAGNOSTIC TECHNIQUES; NERVOUS SYSTEM DISEASES; MEDICAL EXAMINATIONS; MAN; MEASURING INSTRUMENTS; BRAIN; DESIGN; DATA COVARIANCES
Citation Formats
Clapp, N E, and Hively, L M. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection. United States: N. p., 1997.
Web.
Clapp, N E, & Hively, L M. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection. United States.
Clapp, N E, and Hively, L M. Tue .
"Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection". United States.
@article{osti_504946,
title = {Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection},
author = {Clapp, N E and Hively, L M},
abstractNote = {Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness. 4 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1997},
month = {5}
}
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